Automatic Acquisition of Adjacent Information and Its Effectiveness in Extraction of Bilingual Word Pairs from Parallel Corpora

Learning Method for Automatic Acquisition of Translation Knowledge

This paper presents a new learning method for automatic acquisition of translation knowledge from parallel corpora. We apply this learning method to automatic extraction of bilingual word pairs from parallel corpora. In general, similarity measures are used to extract bilingual word pairs from parallel corpora. However, similarity measures are insufficient because of the sparse data problem. Th...

Automatic extraction of bilingual word pairs from parallel corpora with various languages using learning for adjacent information

This paper presents a learning method using adjacent information as the method to extract bilingual word pairs efficiently from parallel corpora with various languages for which language resources are insufficient. In our method, information about correspondence between source language words and target language words is acquired automatically using the word strings that adjoin bilingual word pa...

Automatic Acquisition Of Bilingual Rules For Extraction Of Bilingual Word Pairs From Parallel Corpora

Automatic extraction of bilingual word pairs using inductive chain learning in various languages

In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system must deal with various languages. Therefore, automatic extraction of bilingual word pairs from parallel corpora with various languages is important. However, previous works based on statistical methods are insufficien...

Automatic Acquisition of a High-Precision Translation Lexicon from Parallel Chinese-English Corpora

This paper presents a hybrid approach to deriving a translation lexicon from unaligned parallel Chinese-English corpora. Two types of information, namely, proximity and document-external distributions of word pairs, are proposed to enhance the precision of the translation lexicon derived from statistical and dictionary-based methods. The former can identify translations of Chinese compounds, wh...